Search Results for "java class analysis"
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Showing 8 open source projects for "java class analysis"
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LMDBG is a set of small utilities for collecting and analysing logs of malloc(3), calloc(3), realloc(3), memalign(3), posix_memalign(3) and free(3) functions. LMDBG generates full stacktraces and separates the logging process from analysis, thus allowing analysis of application on per-module basis. Simple but powerful tools for analysis are also provided.
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AWK Statistics
awkStatistics generates statistics from csv-data with awk.
AwkStatistics is a script which is used to generate statistical data for csv data by using awk. It takes two columns from the input file, one is used to identify the row(option -i) and the other one is the column where the values are taken from (option -v). The script was designed for performance engineers to be able to analyze CSV-Data on the fly and have a good possibility to automate the analysis process. -
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AWK~plus is the next generation script practice environment. The AWK Language specifications and a main extension of GNU GAWK. Combination of Dynamic and Static typing. Parallel computing that a lock is free, and is thread safe at a language level.
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Cov is a code coverage tool to get your code coverage after your runuing some steps for your programs.It is based on llvm(Low Level Virtual Machine,http://llvm.org/).Now,it's only a begining,so welcome anybody to join in.
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This command-line tool will help people who want to compare 2 csv-like files, and get a detailed report on which rows and fields differ between both files. An awk-based version and Perl Version is currently available.
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Add logger code to all java files recursively from a given directory. If directory is not defined, the current directory is used. System.out.println are defaultly replaced by logger.fine but you can change the lever or do not replace.
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basE91 is an advanced method for encoding binary data as ASCII characters. It is similar to UUencode or base64, but is more efficient. The overhead produced by basE91 depends on the input data. It amounts at most to 23% and can range down to 14%.
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